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Dissipativity theory and applications of nonlinear stochastic systems with Markov jump and Levy noise

机译:马尔可夫跳跃和征收非线性随机系统的耗散理论与应用

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This paper focuses on the stochastic dissipativity theory and applications for nonlinear stochastic systems with Markov jump and Levy noise. First, based on the dissipation inequality, multi supply rates, multi storage functions and stochastic analysis tools, the stochastic dissipation theory is established. And then the results can be utilized to obtain the sufficient conditions for LaSalle-type stability theorem of stochastically dissipative system. In addition, the conclusions on extended stochastic Kalman & ndash;Yakubovich & ndash;Popov (KYP) conditions and stochastic feedback passivity are also derived. Finally, two examples are given to validate the effectiveness of our results.(c) 2021 Elsevier B.V. All rights reserved.
机译:本文侧重于马尔可夫跳跃和征收噪声的非线性随机系统随机耗散理论和应用。 首先,根据耗散不等式,多供应速率,多存储功能和随机分析工具,建立随机耗散理论。 然后可以利用结果来获得随机耗散系统的Lasalle型稳定定理的充分条件。 此外,还衍生出延长塞洛曼Kalman&Ndash的结论。yakubovich–波波夫(kyp)条件和随机反馈被动性。 最后,给出了两个例子来验证我们的结果的有效性。(c)2021 Elsevier B.V.保留所有权利。

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